The first synthetic genetic circuits to use analog computation have been developed. These circuits involve fewer components and resources, and can execute more complex operations, than their digital counterparts. See Letter p.619
This is a preview of subscription content, access via your institution
Open Access articles citing this article.
Nature Communications Open Access 24 September 2022
Nature Communications Open Access 28 August 2019
Natural Computing Open Access 01 June 2018
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Rent or buy this article
Prices vary by article type
Prices may be subject to local taxes which are calculated during checkout
*This article and the paper under discussion1 were published online on 15 May 2013.
Daniel, R., Rubens, J. R., Sarpeshkar, R. & Lu, T. K. Nature 497, 619–623 (2013).
Qian, L. & Winfree, E. Science 332, 1196–1201 (2011).
Moon, T. S., Lou, C., Tamsir, A., Stanton, B. C. & Voigt, C. A. Nature 491, 249–253 (2012).
Sarpeshkar, R. Neural Comput. 10, 1601–1638 (1998).
Sarpeshkar, R. Ultra Low Power Bioelectronics: Fundamentals, Biomedical Applications, and Bio-Inspired Systems (Cambridge Univ. Press, 2010).
About this article
Cite this article
Sauro, H., Kim, K. It's an analog world. Nature 497, 572–573 (2013). https://doi.org/10.1038/nature12246
This article is cited by
Nature Communications (2022)
Nature Communications (2019)
Science China Information Sciences (2019)
Natural Computing (2018)